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DBMS > Geode vs. GeoMesa vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison Geode vs. GeoMesa vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. WakandaDB

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGeoMesa  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeSpatial DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSObject oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitegeode.apache.orgwww.geomesa.orgwww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationgeode.apache.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.intersystems.comdocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.CCRi and othersInterSystemsMicrosoftWakanda SAS
Initial release20022014199720162012
Current release1.1, February 20175.0.0, May 20242018.1.4, May 20202.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache License 2.0commercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++C++, JavaScript
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (OQL)noyesyesno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnoyesTransact SQLyes
Triggersyes infoCache Event Listenersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layernoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationdepending on storage layerSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryesno
User concepts infoAccess controlAccess rights per client and object definableyes infodepending on the DBMS used for storageAccess rights for users, groups and rolesyesyes

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More resources
GeodeGeoMesaInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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